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About

I hold a Master degree in Bioengineering with specialization in Biomedical Engineering from Faculty of Engineering of the University of Porto, Portugal. I landed a thesis proposal where I had to develop an autonomous robotic system with the ability to reproduce repetitive tasks in a lab environment. During the degree, the passion for applied robotics emerged, so I decided to pursue it in order to integrate and further improve the knowledge in areas such as mechanics, electronics, computer science and biomedics. I joined the CRIIS group which belongs to INESC TEC, in September 2016 as a R&D engineer with responsibilities in developing new robotic solutions to handle industrial problems. My main activities include system mechanical modelation, electronics and software development.

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018
Publications

2022

A kinesthetic teaching approach for automating micropipetting repetitive tasks

Authors
Rocha, C; Dias, J; Moreira, AP; Veiga, G; Costa, P;

Publication
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Abstract

2022

Gerber File Parsing for Conversion to Bitmap Image–The VINCI7D Case Study

Authors
Sousa, RB; Rocha, C; Mendonca, HS; Moreira, AP; Silva, MF;

Publication
IEEE ACCESS

Abstract

2021

Searching the Optimal Parameters of a 3D Scanner Through Particle Swarm Optimization

Authors
Braun J.; Lima J.; Pereira A.I.; Rocha C.; Costa P.;

Publication
Communications in Computer and Information Science

Abstract

2021

Low-cost SARS-CoV-2 vaccine homogenization system for Pfizer-BioNTech covid-19 vials

Authors
Lima, J; Rocha, L; Rocha, C; Costa, P;

Publication
IAES International Journal of Robotics and Automation (IJRA)

Abstract
<p>The current SARS-CoV-2 pandemic has been affecting all sectors worldwide, and efforts have been targeting the enhancement of people’s health and labour conditions of collaborators belonging to healthcare institutions. The recent vaccines emerging against covid-19 are seen as a solution to address the problem that has already killed up to two million people. The preparation of the Pfizer-BioNTech covid-19 vaccine requires a specific manipulation before its administration. A correct homogenization with saline solution is needed and, therefore, a manual process with a predefined protocol should be accomplished. This action can endanger the operators’ ergonomics due to the repetitive movement of the process. This paper proposes a low-cost prototype incorporating an arduino based embedded system actuating a servomotor to perform an autonomous vials’ homogenization allowing to redirect these healthcare workers to other tasks. Moreover, a contactless start order process was implemented to avoid contact with the operator and, consequently, the contamination. The prototype was successfully tested and recognised, and is being applied during the preparation of the covid-19 vaccines at the hospital pharmacy of <em>Centro Hospitalar de Vila Nova de Gaia/Espinho</em>, <em>E.P.E.</em>, Portugal. It can be easily replicated since the source files to assemble it are provided by the authors.</p>

2021

Three-dimensional scanning system based on a low-cost infrared sensor

Authors
Braun, J; Lima, J; Pereira, AI; Rocha, C; Costa, P;

Publication
2021 26TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)

Abstract
Nowadays, with the availability of 3D printers, the scanners for objects are becoming increasingly present since they allow to replicate objects by 3D printing, especially for small scale sizes. However, the majority of these technologies are expensive, due to the complexity of this task. Therefore, this work presents a prototype of a low-cost 3D scanning system for small objects using a point cloud to stereolithography approach where it was already validated in simulation in previous work. This concept has a restriction that the objects must have a uniform shape, i.e, without discontinuities. The architecture is composed of two stepper motors, due to their precision, a rotating plate to allow 360 degrees scans and another rotating structure that allows the infrared distance sensor to scan the object from bottom to top (90 degrees). The prototype was validated in the real scenario with good results. © 2021 IEEE.